Job Description
Reporting to Manager,Data Science,the job holder is responsible for applying statistical analysis, machine learning, artificial intelligence and data modeling techniques to extract insights from complex datasets, enabling data-driven decision-making. The job holder is involved in identifying business problems, designing analytical solutions, and implementing predictive models to optimize processes and drive innovation.
Job Responsibilities
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Design, develop, and deploy machine learning models and predictive algorithms plus validate model accuracy and ensure they meet performance requirements.
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Collaborate with stakeholders to define business problems and translate them into data science projects.
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Design solutions tailored to specific organizational needs.
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Collect, clean, and preprocess data for analysis and ensure data quality and integrity throughout the project lifecycle.
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Create dashboards, visualizations, and reports to present findings.
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6. Conduct ad-hoc analysis, simulations, and predictive modeling to support decision-making.
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Analyze financial sector data to identify risks, trends, and regulatory implications.
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Develop AI-assisted risk assessment frameworks, AI agents, forecasting models, and early warning systems.
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Provide data-driven insights to inform supervisory, risk mitigation, and policy decisions.
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Effectively communicate complex data concepts to non-technical audiences.
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Work with data engineers, analysts, and IT teams to implement data solutions.
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Provide support during the integration of analytics solutions into business processes
Job Requirements
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Bachelor’s degree in AI engineering, data science, computer science or a similar discipline.
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Two (2) years of experience in data science, data governance, AI engineering or data quality assurance.
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